AWS Summit Toronto 2026

Enhance your AWS Cloud expertise through hands-on learning in our dedicated self-paced training space. Interact with multiple training options including AWS Builder Labs, gamified trainings, and AWS SimuLearn to solve real business and technical challenges. With over 200 offerings available for both technical professionals and non-technical professionals, you'll find everything needed to advance your cloud skills at your own pace.

Patrick Kremer, AWS; Ron Wedel, AWS

Migrating and modernizing VMware workloads to AWS starts with the right decisions and the right strategy. In this interactive session, we'll walk you through a complete framework, from assessing your VMware environment and navigating foundational choices around licensing, architecture, and organizational readiness to selecting the migration pathway that fits your workloads and goals. Discuss your options with AWS experts, from Amazon EVS, rehosting to EC2 to containerization and refactoring. Tap into agentic AI with AWS Transform to accelerate discovery, planning, and execution. Whether you're starting your assessment or ready to execute, this session delivers practical guidance to move forward with confidence.

Thomas Utsey , Senior Technical Trainer, AWS

Join us for an engaging session on AI Agents and Tools in AWS, where we’ll explore how to build intelligent, autonomous systems using Amazon Bedrock and open-source frameworks. Learn about function calling, ReAct patterns, and AWS’s comprehensive agent platforms. We’ll dive into practical demonstrations using Strands and CrewAI, and discover how to leverage protocols like MCP and A2A for seamless tool integration and agent collaboration. Perfect for developers looking to create production-ready AI solutions.

Derek Desjardins, AWS; Ryan Yanchuleff, AWS

Join us for an interactive session exploring the agentic capabilities of the Kiro CLI. Learn how to leverage custom agents that uses the information across native and MCP server-based tools to read and write files locally, call AWS APIs, run bash commands, and write code, all while adapting to your feedback in real-time. We'll cover best practices for agentic development, and real-world use cases for implementing Kiro CLI into your existing workflows.

Kushal Deshpande, Tech Lead, AWS

VMware migrations are complex. Dependency mapping, downtime windows, re-platforming decisions, and infrastructure provisioning create months of work before teams see value. This session demonstrates how AWS Transform simplifies VMware migrations, addresses common blockers, and showcases the end-to-end architecture. Through a live showcase, see how Transform automates discovery, planning, and execution. This presentation is ideal for engineers planning a VMware migration or adopting AWS Cloud.

Sunil Bemarkar, AWS; Renu Hall, AWS

OpenAI frontier models are now available on Amazon Bedrock. Use OpenAI models through Bedrock APIs, unified IAM, PrivateLink, and cost controls you already rely on. The session covers two key use cases: Codex on Bedrock, which lets you use Codex within your AWS environments, authenticate with existing credentials, route inference through Bedrock, with per-token billing and spend that rolls up to your AWS commitments; and Bedrock Managed Agents, powered by OpenAI, combining OpenAI frontier models and the OpenAI agent harness with AWS global infrastructure, security, per-agent identity, and auditability.

Ali Alemi, Pr. Streaming SA, AWS; Mazrim Mehrtens, Sr WW Streaming SSA, AWS

Learn how to build a modern, streaming analytics solution for real-time data processing and power it with agentic AI capabilities to analyze events and extract patterns for actionable responses. This session will provide a hands-on experience on building a streaming solution using Amazon Managed Streaming for Apache Kafka for real-time data ingestion. Using Amazon Managed Service for Apache Flink for complex event processing, and Amazon Bedrock Agents to take immediate action. Further evolve this solution to demonstrate the integration with Amazon S3 Tables for deeper analysis. You must bring your laptop to participate.

Dmitry Soldatkin, AWS; Andy Lapastora, AWS; Mona Mona, AWS; Surya Kari, AWS

Learn how to choose the right inference option for your AI workloads across SageMaker Managed Inference (Lumen), HyperPod Inference, and Amazon Bedrock — each with different cost, latency, and control tradeoffs. This session goes beyond deployment: see how to evaluate model performance across endpoints using SageMaker AI's built-in evaluation capabilities, monitor inference quality and drift with managed MLflow 3.0 and CloudWatch, and set up continuous observability pipelines that catch regressions before your users do. Learn to optimize spend across managed and self-hosted endpoints while maintaining the governance and visibility production AI demands. You must bring your laptop to participate.

Eila Sedigh, Technical Account Manager, AWS; Meenal Sharma, Sr. TAM, AWS; Mihir Pathare, Industry Sr SA, AWS; Ravikumar Sola, Sr. TAM, AWS

Security teams struggle with overwhelming AWS log volumes, hindering visibility. This hands-on builders' session transforms security telemetry into unified, actionable intelligence to reduce resolution time. Learn to capture comprehensive account activity, apply advanced event selectors for optimized log volume, and leverage automated collection with OCSF-based transformation. Explore powerful analytics using natural language, SQL/PPL, and Apache Iceberg tools. Gain practical techniques for auditing, compliance, and troubleshooting. You must bring your laptop to participate.

Aline Shalita, Solutions Architect, AWS; Ali Maga, Solutions Architect, AWS

In this session, discover how agentic AI unlocks insights hidden within manufacturing data, such as equipment maintenance records and data sheets, to enhance efficiency and reduce costs. Through a reference architecture, we will show how to leverage Amazon Bedrock and Amazon Bedrock AgentCore to make complex manufacturing knowledge accessible via natural language. We will demonstrate how shop floor operators and operations managers can identify the right SOP to fix a production issue, surface potential root causes from observed production alarms, and make faster, more informed decisions, all without requiring specialized data science expertise.

Vineet Jha, Partner Migration Program Lead, AWS; Kristine Ancio, Partner Development Manager, Technology Partners, AWS

Hear how AWS Partners are making impact supporting customers on their digital transformation journeys. This session highlights customer success stories where partners have used AWS Partner Programs to accelerate change.

Jonathan Dion, AWS Principal Technical Instructor, AWS

Join us for an engaging session if exploring Kiro, what is it? How can we use it and what are some of its components that could enable you to build code quickly.

Abhra Sinha, Tech Lead, AWS

Enterprise workflows are fragmented across disconnected systems—ticketing, knowledge bases, CRM, and notifications—requiring manual coordination that wastes time and introduces errors. This talk demonstrates how multi-agent AI using the Model Context Protocol (MCP) brings clarity to chaos. Watch a live demo where an AI agent automatically discovers tools across four business systems, resolves a support ticket in 2 minutes (vs. 30 minutes manually), and sends notifications—all without hardcoded integrations. Learn how MCP enables production-ready, extensible architectures that scale across any enterprise workflow.

Tyler Jones, Sr SSA, AWS; Hahnara Hyun, Sr SSA, AWS

This session demonstrates how AWS Transform Custom revolutionizes Java workload assessment through intelligent, automated discovery and compatibility analysis that identifies the highest-value Graviton migration candidates. Discover how agentic AI systematically evaluates your Java application portfolio, automatically analyzes code dependencies, suggests code changes, and provides data-driven recommendations for Graviton migration prioritization. Enable your teams to confidently target workloads with the greatest price/performance improvement potential while minimizing migration risk and accelerating your optimization roadmap.

Venugopalan Vasudevan, AWS; Avinash Nidumbur, AWS

Modernizing enterprise codebases—upgrading Java versions, migrating AWS SDKs, or tackling custom refactors—drains developer productivity. This session shows how AWS Transform custom's agentic AI automates these transformations at scale. Through live demos and real examples, you'll learn to define transformation rules using natural language and code samples, teach the agent your organization-specific patterns, build testing workflows for reliable conversion, and use feedback loops to improve quality. Whether managing a handful of repos or hundreds, you'll gain actionable techniques for creating robust transformation patterns, running large-scale modernization campaigns, and maintaining codebase consistency.

Brad Sevenko, Sr. PCA Manager, AWS; Amol Katdare, AWS

Discover how customers are leveraging AWS AI-driven solutions to accelerate their cloud transformation journey, moving beyond traditional migration and modernization to achieve digital transformation excellence. This session showcases real-world experiences where organizations have integrated AI-powered accelerators with AWS cloud services to achieve 3x faster migration timelines and drive unprecedented business value. Learn actionable strategies and see demonstrations of how a large transformation project can become a digital enterprise enabler for your organization,

Beerinder Mann, AWS; Venkata Sistla, AWS

Discover how Amazon FSx Intelligent-Tiering for OpenZFS and Lustre delivers fully elastic file storage that simplifies management while automatically optimizing costs. In this session, we'll explore the architecture behind virtually unlimited storage capacity that automatically scales up and down with your workloads and intelligently moves data based on access patterns, without over-provisioning or operational overhead. We will demonstrate how FSx Intelligent-Tiering delivers high-performance storage, achieving millions of IOPS, terabytes per second of throughput, and sub-millisecond latencies for your large datasets.

Jeff Lombardo, Principal Security SA, AWS

In this chalk talk, learn how policy evaluation works in detail and walk through some advanced AWS Identity and Access Management (IAM) policy evaluation scenarios. Discover how request context is evaluated, explore delegation patterns AWS services use to make requests, understand various condition keys and their optimal use, and receive recommendations for use of each policy type.

Clayton Markos, AWS Senior Technical Instructor, AWS

This session demonstrates how Kiro brings discipline and clarity to AI-assisted software development, ensuring generated code aligns with intended functionality and architecture. Explore Kiro's innovative spec-driven development approach for AI coding. Learn how to leverage structured specifications as a single source of truth, contrasting with unstructured 'vibe coding'. Discover how Kiro uses AI to generate detailed requirements, design, and task documents, guiding AI agents in code creation. Experience a workflow that enhances collaboration, maintainability, and documentation accuracy.

Enhance your AWS Cloud expertise through hands-on learning in our dedicated self-paced training space. Interact with multiple training options including AWS Builder Labs, gamified trainings, and AWS SimuLearn to solve real business and technical challenges. With over 200 offerings available for both technical professionals and non-technical professionals, you'll find everything needed to advance your cloud skills at your own pace.

Rob Preta, Data Security and AI Governance Officer, Cyera

As enterprises scale AI on AWS, data risk expands just as quickly. Security teams need unified visibility and control that keeps pace with cloud innovation. This session explores how Cyera helps organizations discover and classify sensitive data, enforce consistent policies across services like Amazon Bedrock and SageMaker, and reduce exposure, so you can secure AI at the speed, scale, and precision the cloud demands.

Darryl Ruggles, Ciena

In this session, I will walk through both systems - the text-based assistant using CloudFront, Lambda, and SSE streaming, and the voice assistant using WebSocket and Nova Sonic - showing how they share tools and knowledge base but differ in architecture. I will cover what worked, what surprised me, and deployment gotchas not in the documentation. This session is for developers who want to build AI agents on AWS that go beyond chat. Attendees will leave with two deployable reference architectures and practical lessons from building them.

Ayesha Siddiqa, Solutions Architect, AWS

Business intelligence tools show you what happened, but acting on insights requires manual effort and separate tools. Amazon Quick changes that by combining AI-powered analytics, natural language querying, workflow automation, deep research, and agentic AI in one platform. We'll show how a user goes from dashboard insight to automated action in minutes, without code. Attendees will see how Quick reimagines BI for the AI era.

Kirill Davydychev, AWS; Fei Jing, AWS

Amazon Elastic Block Store (Amazon EBS) io2 Block Express is designed to achieve consistent sub-millisecond latency and deliver the provisioned performance 99.9% of the time with a durability of 99.999% for your most mission-critical applications, such as Oracle, Microsoft SQL Server, MySQL, and SAP HANA. Join this session to learn about how Amazon EBS performance characteristics optimize compute utilization that leads to cost efficiency, which contributes to the success of many performance-demanding industry use cases.

Sreenath Middhi, AWS; Haig Ehramdjian, AWS

Implementing a modern data strategy and unlocking business value from generative AI are paramount to most companies' digital transformation goals. This session will walk SAP customers through multiple approaches for adopting a modern data strategy on AWS and building a strong data foundation for AI. We will cover native AWS services, SAP Business Data Cloud, SAP BTP, and solutions from top ISV partners.

Umair Khalid, Sr. Industry Product Arch, AWS; Brian Warwick, Prin. Healthcare SA, AWS

This chalk talk will discuss designing production-ready healthcare AI systems. We explore an end-to-end pipeline that transforms medical documents into queryable clinical insights, all while maintaining data privacy compliance. We will cover how Amazon Bedrock Data Automation handles medical document processing, the design principles behind FHIR-compliant data transformation, and how AWS HealthLake fits into a modern healthcare data architecture. We examine the Model Context Protocol (MCP) and Amazon Bedrock AgentCore as enablers of natural language queries and AI agents that interact directly with AWS HealthLake — covering the trade-offs, patterns, and pitfalls encountered in production.

Rohan Mehta, WW Serverless Specialist SA, AWS; Rahul Pisal, Sr. Solutions Architect, AWS

AWS Lambda Durable Functions enables developers to build sophisticated agentic workflows that run for extended periods without infrastructure overhead. This session explores architectural patterns for coordinating AI agents at scale, including event-driven processing that responds to real-time triggers, multi-agent orchestration, and human-in-the-loop workflows that pause for approval before continuing. You'll learn how to design cost-efficient systems that pay only for active compute while handling complex coordination scenarios—from document processing pipelines to feedback-driven improvement loops—all within a serverless programming model that eliminates the need for external orchestrators or custom state management infrastructure.

Brian Mycroft, Enterprise Technologist - Government, National Security & Defence, AWS

Cross-Region Inference Service (CRIS) delivers powerful GenAI capabilities for government and education organizations—unlocking access to leading foundation models to streamline operations, modernize public services, and advance student success. Adoption requires navigating compliance including FERPA, FedRAMP, CJIS, and agency-specific governance policies. This session equips CIOs, CTOs, IT leaders, and program administrators with strategies for enabling CRIS across education and government—addressing procurement constraints, governance, and converting demand into production deployments. Learn approaches for positioning CRIS while maintaining compliance, protecting sensitive data, and accelerating time-to-value.

Matt Rosen , Senior Solutions Consultant , IBM Cloudability

All too often, collaboration between FinOps and Engineering happens reactively—surfacing cost issues only after deployment, when spend has already reached production. This creates friction between teams and reinforces a cycle of late-stage remediation instead of proactive cost management. In this session, you’ll learn how to shift your FinOps program left by embedding cost awareness into existing engineering workflows. Discover how this approach brings cost signals earlier into the development lifecycle to reduce rework, prevent wasted spend, and empower teams to make cost-aware product decisions without slowing delivery.

Wilmar Perez, AWS Technical Instructor, AWS

What skills will set you apart as a generative AI developer? We will share resources, hints and tips which will enable you to get started quicker and learn from our AWS Training and Certification Instructors.

Shayon Sanyal, Principal Solutions Architect, AWS; Aditya Samant, Principal Solutions Architect, AWS

Explore how to build an agentic AI application using Amazon Aurora and Model Context Protocol (MCP). This session introduces design patterns for agents powered by Amazon Bedrock that retrieve live relational data from Amazon Aurora to drive autonomous workflows. Learn how to build solutions using MCP servers to enable contextual memory, handle multi-turn queries, and securely connect LLM agents to Aurora clusters. Discover architecture blueprints that combine structured data with LLMs and orchestrate multi-agent workflows with Amazon Bedrock AgentCore, LangGraph and Strands Agents. Ideal for builders creating real-time, intelligent systems that operate directly on relational data.

Vignesh Ravi, Solutions Architect, AWS

Agentic AI transforms business through three pillars: Enhanced Customer Experience with AI chatbots autonomously resolving 80% of Tier-1/2 issues across retail, healthcare, banking, and insurance; Boosted Productivity via multi-agent collaboration automating research, content generation, and workflow orchestration; and Optimized Processes through industry-specific agents handling DevOps, sales analysis, HR onboarding, and predictive maintenance. AWS's 7A Model enables systematic deployment of these no-code AI capabilities, delivering measurable impact through multi-agent orchestration with task-based pricing and continuous learning.

Nicolas Bedard, Leader, Technology Engagement, GCP and AI Ecosystem, Palo Alto Networks

AI is accelerating enterprise productivity through external tools, agents, and custom applications, but it introduces critical security risks like model vulnerabilities and sensitive data exposure. Only 6% of organizations have a robust strategy, leading to real-world incidents like data leaks. To counter this, a unified platform approach—"Secure AI by Design"—is necessary. Palo Alto Networks addresses this with Prisma Browser for governing external AI use and Prisma AIRS for securing AI application development, model integrity, and agent control, ensuring fearless innovation.

Jamal Arif, Member of Technical Staff, Anthropic

Claude is the frontier model behind much of the agentic shift in software development—and now, in enterprise knowledge work. Anthropic's Applied AI team shares what they're seeing on the ground: the capability trends that changed what's possible, the patterns emerging across industries, and what separates the enterprises in production from the ones still piloting.

Enhance your AWS Cloud expertise through hands-on learning in our dedicated self-paced training space. Interact with multiple training options including AWS Builder Labs, gamified trainings, and AWS SimuLearn to solve real business and technical challenges. With over 200 offerings available for both technical professionals and non-technical professionals, you'll find everything needed to advance your cloud skills at your own pace.

Kunal Batra, Senior Technical Advocate, Datadog

AI agents are non-deterministic systems, and their behavior is best evaluated in production, where real-world usage reveals what synthetic testing can miss. In this session, we’ll apply Datadog’s LLM evals and Feature Flags to measure and optimize agents running on Amazon Bedrock AgentCore. You’ll learn how to measure quality across agent interactions, turn those signals into monitors, and use Feature Flags to safely experiment with and optimize prompts, models, and tool usage in real time. Leave with a practical approach to optimizing agents while decoupling behavior changes from deploy cycles.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Tia White, AWS

At AWS, we believe builders should have the freedom to invent anything. Today, AI agents are transforming what’s possible. Join us to learn how AWS makes it easier than ever to build, deploy, and scale agents. Hear from customers achieving breakthroughs by integrating AI into their operations. Discover where agents are heading, and how AWS is removing every barrier between your imagination and reality.

Enhance your AWS Cloud expertise through hands-on learning in our dedicated self-paced training space. Interact with multiple training options including AWS Builder Labs, gamified trainings, and AWS SimuLearn to solve real business and technical challenges. With over 200 offerings available for both technical professionals and non-technical professionals, you'll find everything needed to advance your cloud skills at your own pace.

Nayef Khan, Sr. Enterprise Industry Solutions Architect , AWS; Albeda Siddique, Senior SA, AWS for Telecom, AWS

Join us to learn how telecom providers streamline their cybersecurity operations. We'll provide a walk-through of an innovative solution using Amazon Bedrock AI Agents that reduces security investigation time from hours to minutes when diagnosing application access blocks. Attendees will explore a real-world application of generative AI in SecDevOps and cybersecurity for telecommunications. This lightning talk equips telecommunications organizations facing similar challenges with practical strategies for implementing agentic AI-powered solutions in security operations for both customer-facing and internal IT networks.

Jonathan Dion, AWS Principal Technical Instructor, AWS

Join us for an engaging session if exploring Kiro, what is it? How can we use it and what are some of its components that could enable you to build code quickly.

Joel Desaulniers, Senior Solutions Engineer, Wiz, Inc

AI is rapidly changing how organizations build and operate in the cloud. This session explores the evolving AI security landscape and how teams can both secure their use of AI and use AI to improve security outcomes. Learn how Wiz delivers visibility, context-driven risk insights, and protection across the AI application stack, with a live demo included.

Sam Vuillaume, Business Development Engineer Cloud , Fortinet

Objective: Show how AI strengthens AWS cloud security by detecting risks early, monitoring activity, and enabling faster response. Takeaways: - Detect misconfigurations across cloud and SaaS resources - Identify anomalous behavior with AI-driven insights - Prioritize critical risks to reduce alert noise - Improve application and API security - Maintain continuous visibility across environments - Use AI for automated monitoring and response to protect data and improve resilience

Aditya Samant, Principal Solutions Architect, AWS; Shayon Sanyal, Principal Solutions Architect, AWS

Multi-agent collaboration unlocks new levels of reasoning, specialization, and task orchestration in generative AI systems. In this hands-on workshop, learn how to harness Model Context Protocol (MCP) with AWS agentic AI services and Amazon Aurora PostgreSQL-Compatible Edition to build a collaborative AI system. You’ll create specialized agents focused on data interaction use cases that demonstrate a variety of data retrieval, analysis, or decision-making tasks grounded in real-time data and context from Aurora. Build a working prototype that showcases how intelligent agents can collaborate to solve complex problems with grounded enterprise data. You must bring your laptop to participate.

Andrey Ostapenko, AWS; Puneet Badlani, AWS

Join us to explore cutting-edge AI implementations in Amazon Connect that reduce costs while enhancing customer satisfaction. Learn to design effective AI interactions that improve self-service completion rates and reduce agent call times, all while maintaining natural conversations and personalized experiences. Architect solutions that balance automation with human support, covering model selection, deployment strategies, and performance measurements. Together, we'll focus on ROI metrics to achieve the optimal blend of AI and human support in your contact center operations.

Jackson Dowden, Solutions Architect, Amazon Quick, AWS; Vineet Kachhawaha, Sr. Solutions Architect, Amazon Quick, AWS

Join this chalk talk to explore how Amazon Quick helps you get more from your structured data. Discover how conversational analytics enables users to ask questions directly against their datasets in natural language, and learn how agentic capabilities can accelerate dashboard creation. Explore techniques for integrating unstructured sources like documents and knowledge bases for richer context across your analytics, and see how Quick connects insights to action through integrated applications and automated workflows. Bring your current BI challenges and architectures for this collaborative session.

Juan Luis Polo Garzon, Analytics Specialist SA, AWS; Nidhi Nayak, ESL TAM, AWS

Join this interactive session to learn strategies for building secure and scalable data lakehouse architectures. You will get practical experience in implementing different lakehouse patterns using AWS Lake Formation as a single control plane for managing permissions across multiple data stores. Implement Attribute-based Access Control (ABAC) and Tag-based Access Control (TBAC) to efficiently scale permissions, create unified governance policies, and set up cross-platform access controls. Gain hands-on experience with real-world lakehouse scenarios that demonstrate how to scale data access management across your organization.

Nick Matthews, Amazon Leo; Gerardo Vazquez, Sr. Solutions Architect, AWS

Join us as we explore the cutting-edge Amazon Leo internet service delivering low-latency, high-bandwidth connectivity to enterprises and remote communities. Discover how Amazon Leo harnesses AWS Regions and the global backbone to meet demanding networking requirements. In this chalk talk, learn how Canadian organizations connect to AWS using Amazon VPC and AWS Transit Gateway through Amazon Leo's Direct-to-AWS (D2A) architecture, bypassing the public internet entirely. We'll explore Customer Virtual Networks, satellite-to-cloud data paths, and integration patterns for building truly global networks spanning space and ground. See how AWS empowers Amazon Leo to revolutionize connectivity across Canada.

Wilmar Perez, AWS Technical Instructor, AWS

Build a comprehensive multi-agent AWS management system using the Strands Agents SDK and Amazon Bedrock. You will progress from creating specialized agents for different operational domains—including coding, monitoring, research, and resource management—to building a sophisticated multi-agent orchestrator that can handle complex requests like "Deploy a web application that displays our user data from DynamoDB with proper monitoring in place." Transform your manual, error-prone operational processes into an intelligent, conversational interface that reduces deployment time from hours to minutes while maintaining enterprise-grade reliability and security standards.

Saif Husain, Principal CSM, AWS; Travis James, Sr Optimization SA, AWS

Explore the intersection of AI and FinOps in this advanced session. First, discover how Amazon Q can simplify AWS cost management by analyzing trends, explaining spend, and recommending optimizations like rightsizing and Savings Plans. Then, dive into FinOps for AI- learn how to track and control generative AI costs across Amazon EC2, Amazon SageMaker, Amazon Bedrock, and more. We'll share architecture patterns, cost-saving strategies, and real-world examples to help you build scalable, production-ready AI solutions while staying on budget. Whether you're optimizing existing workloads or launching new AI initiatives, you'll leave with practical tools to maximize value.

Sharon Nikritin, AWS

As development velocity increases, organizations need security that scales with them. AWS Security Agent brings AI powered security analysis to every stage, from pull request reviews to on demand penetration testing. In this session, you'll see how to automate security reviews against industry frameworks, catch vulnerabilities before they ship, and run pen tests in hours instead of weeks. Walk away with practical patterns to scale application security across your organization while keeping developers moving fast.

Prabir Sekhri, AWS; Sebastien Couturier, AWS; Eric Heinrichs, AWS; Sebastien Perreault, AWS

Amazon S3 Files delivers the first cloud object store that provides fully-featured, high-performance file system access to your data. In this session, you'll go hands-on with S3 Files in a real-world AI workflow. You'll create an S3 file system, attach it to an Amazon EKS cluster, and use it to trigger a pre-built, event-driven AI agent system that automatically processes files as they're written by a containerized application — no SDK rewrites, no data duplication, just standard file I/O. You'll fine-tune synchronization behavior between S3 and the file system, monitor performance with Amazon CloudWatch, and establish a disaster recovery strategy using cross-Region replication and AWS Backup. You must bring your laptop to participate.

Jim Burtoft, AWS; Megan McKenzie, Associate Solution Architect, AWS; Steven Warren, Sr. Technical Account Manager, AWS; Michaelangelo Battaglia, Field AGS, AWS

AWS Trainium is purpose-built to deliver superior price-performance for LLM training workloads, making it cost-efficient for model development tasks including training, fine-tuning, and inference. In this session, we'll demonstrate PEFT LoRA fine-tuning of the Gemma4 text model on Trainium-based instances using the Hugging Face library. You'll walk away from this session the complete steps for model fine-tuning and deployment process on Trainium along with key optimization techniques. You must bring your laptop to participate.

Angelo Mandato, Washington Prime Group

Haven't updated your CloudFront distributions in 2026? You're missing out! CloudFront is AWS's CDN service delivering content through 750+ edge locations with built-in DDoS protection at no extra cost. Key features include caching, SSL termination, low latency, and AWS backbone integration. You can now transform requests with CloudFront Functions, route traffic by code or path patterns, and leverage AWS WAF integration. New flat-rate pricing includes a free tier. Understanding TTL values (Minimum, Default, Maximum) and origin modification capabilities within CloudFront Functions is essential. Join us for a fresh CloudFront deep dive to maximize your distribution's effectiveness.

Viranchi Ajmeri, Sr. Partner Management Solutions Architect, AWS

How AWS Partners and customers are working together to address generative AI adoption. We present generative AI industry research with insights into customer buying behavior and how partners are uniquely positioned to address. Additionally, we cover insights on the AWS Partner Programs and resources designed to make both partners and customers successful in achieving their desired outcomes with generative AI.

Kunal Batra, Senior Technical Advocate, Datadog

AI agents are dynamic systems shaped by prompts, models, tools, and runtime decisions. Operating them in production requires observability, tight feedback loops, and safe rollout mechanisms. In this session, we’ll build a Strands-based agent, deploy it on Amazon Bedrock AgentCore, and instrument it with Datadog LLM Observability to trace prompts, tool calls, retrieval, and multi-agent interactions. We’ll then add evaluations to measure quality and feature flags to control behavior at runtime, enabling safe experimentation, gradual rollouts, and fast rollback. Leave with practical patterns and a runnable reference for building and optimizing agents in production.

David Gardner, Principal Solutions Architect, AWS

In this session, gain the skills needed to deploy end-to-end agentic AI applications using your most valuable data. This session focuses on data management using processes like Model Context Protocol (MCP) and Retrieval Augmented Generation (RAG), and provides concepts that apply to other methods of customizing agentic AI applications. Discover best practice architectures using AWS database services like Amazon Aurora and OpenSearch Service, along with analytical, data processing and streaming experiences found in SageMaker Unified Studio. Learn data lake, governance, and data quality concepts and how Amazon Bedrock AgentCore and Bedrock Knowledge Bases, and other features tie solution components together.

Harvinder Nagpal, Sr. WW Specialist - Q Dev, L6, AWS; Svetlana Kolomeyskaya, Head of Outbound GTM , AWS

Discover the future of software development as we explore the transformative power of agents with Kiro’s spec-driven development, AWS Transform custom's enterprise-scale code transformation, and AWS Devops Agent for operation investigations in modernizing your entire software development lifecycle (SDLC). Agentic AI is automating tasks, improving efficiency, and enabling autonomous workflows throughout the development lifecycle. It allows teams to go beyond simple code generation to handle project planning, designing, testing, documentation, building agents into workflows, and retiring technical debt. Join us to explore how these powerful capabilities work together to help organizations accelerate building production ready applications.

Jeff Escott, AWS

Your legacy applications and infrastructure don't have to be a liability. In this session, discover how leading enterprises are converting tech debt into modern cloud advantages that unlock AI capabilities, cut costs, and accelerate innovation. The path to AI starts with migration and modernization. We'll walk through the complete transformation journey: infrastructure, applications, data, and AI-ready business outcomes. You'll see how new agentic AI automation is making migration and modernization faster, simpler, and more cost-effective. We'll explore proven pathways for your most critical workloads (Microsoft, VMware, SAP, and mainframe), backed by 20 years of AWS expertise.

Adam Palmer, Amazon Leo; Garry Galinsky, Principal SA, AWS

Join us as we explore the cutting-edge Amazon Leo (fka Project Kuiper) internet service, designed to deliver low-latency, high-bandwidth connectivity to customers worldwide. Amazon Leo has harnessed the power of AWS Regions and the global backbone, unlocking unique capabilities to meet the demanding telco and networking requirements of this ambitious project. In this session, we'll dive into the innovative Amazon Leo architecture, its seamless integration with AWS infrastructure, and the intricate details involved in building a truly global network – spanning both space and the ground. Discover how AWS empowers Amazon Leo to revolutionize global connectivity, bringing the world closer together.

Bala Krishnamoorthy, Sr GenAI Data Scientist, AWS; Daniel Duplessis, Principal Specialist SA, AWS

Organizations struggle to move generative AI from prototype to production—fragmented tools, deployment complexity, and trust concerns slow innovation. Amazon Bedrock solves this as the comprehensive platform for production AI, enabling teams to build applications and agents at scale. This session presents a practical framework for the complete journey: evaluating Bedrock's model portfolio to select the best fit, customizing models through fine-tuning and distillation to meet specific requirements, implementing built-in guardrails for safe deployment, and leveraging integrated capabilities like prompt management and Knowledge Bases to accelerate time to value. Walk away with actionable principles for confidently building production-ready AI.

Pooja Karadgi, Sr Product Mgr Tech, AWS

Perfect for both newcomers and experienced practitioners looking to accelerate their AI agent development journey, this sessions will teach you to build and deploy AI agents using Amazon SageMaker Studio and Amazon Bedrock AgentCore. In this breakout session, you'll learn how to integrate enterprise data, train custom models, and deploy production-ready agents. We'll demonstrate how to streamline the entire machine learning lifecycle, from data preparation to deployment.

Carlos Rivera, Senior SA, WWPS, AWS; Preetam Rebello, Sr TAM, AWS

Explore diverse architectures for deploying workloads on Amazon EKS with Amazon ECR. Learn about secure software supply chain automation options including CI/CD pipelines, IaC (using Terraform and CDK), and GitOps patterns with Argo CD. Discover how Amazon EKS Capabilities, a suite of fully-managed platform features including Argo CD and AWS resource orchestration eliminate operational overhead for building on Kubernetes. You will understand how these approaches complement each other from developer, architect, and operations perspectives. Get insights on selecting the right deployment strategy based on team structure and skillsets, and learn how to effectively combine DevOps and GitOps patterns to match your organization's needs.

Hahnara Hyun, Sr SSA, AWS; Toby Buckley, Sr SSA, AWS

The fastest path to better EC2 performance usually isn't a bigger instance. It's understanding what your workload is actually doing. In this code talk we use APerf, AWS's open-source profiler, to read the signals a live application emits and turn them into instance and tuning decisions.

Robert Fountain, Sr. WW Specialist SA, EUC, AWS; Joe Jabbour, Sr. WW Specialist SA, EUC, AWS

Managing virtual desktops at scale means time lost to manual troubleshooting, reactive support, and repetitive end-user tasks. Amazon WorkSpaces addresses both sides of this problem. On the admin side, WorkSpaces Advisor delivers autonomous operations—monitoring configurations and identifying issues before they impact end users, reducing resolution time from days to minutes. On the desktop side, agentic capabilities bring AI assistants into the workspace, enabling natural-language automation of repetitive workflows and intelligent interaction with enterprise systems. We cover how autonomous administration and agentic desktops work together to reduce operational burden while increasing end-user productivity. Includes live demo and Q&A.

Enhance your AWS Cloud expertise through hands-on learning in our dedicated self-paced training space. Interact with multiple training options including AWS Builder Labs, gamified trainings, and AWS SimuLearn to solve real business and technical challenges. With over 200 offerings available for both technical professionals and non-technical professionals, you'll find everything needed to advance your cloud skills at your own pace.

Gayathri Kesavanunny, Solutions Architect, AWS

Fragmented customer data across CRM, loyalty, and transaction systems prevents personalized experiences and wastes marketing spend. Disconnected records across web, mobile, email, and in-store channels create incomplete profiles. Learn how to build a unified customer 360 platform that matches consumer records across touchpoints and activates them through personalized campaigns.

Jim Garrett, Principal Solution Architect, Red Hat

Red Hat solution architects will demonstrate migrating Virtual Machines from VMWare into ROSA.

Eric Partington, Senior Domain Consultant, Palo Alto Networks

As organizations scale on AWS, legacy security often fails to keep pace with innovation. This session explores how to eliminate the infrastructure burden of manual patching and complex scaling by transitioning to a fully managed, AI-powered security fabric. Learn how to secure your AI inventory, protect intellectual property, and achieve 99.99% uptime with 100 Gbps auto-scaling. Real-world results show a 40% reduction in manual tasks, allowing teams to prioritize strategy over maintenance. Join us to discover enterprise-grade protection that maintains cloud-native agility without compromising compliance.

Hamed Soleimani, Sr. Software Dev Engineer, AWS; Yilun Cui, Principal Sw. Engineer, AWS

Your developers ship code daily. You pen test a handful of applications once or twice a year at best — at $5K–$50K per engagement. AWS Security Agent closes that gap: deeper insights, faster and more frequent cycles, more cost-effective across a wider portfolio of applications. Compress assessment time by more than 90%. The agent builds contextual awareness of your security requirements, design documents, source code, runtime environment, and business logic to execute multi-step chained vulnerability attack plans personalized for your applications — uncovering what typical SAST, DAST, and manual pen testing miss. More validated exploits with reproducible proof, fewer false positives, less alert fatigue. See live demos and walk away ready to ship secured apps faster.

Martin Soukup, Solink; Varinder Dhanota, Sr Solutions Architect, AWS

Retail loss prevention teams are overwhelmed by transaction volume, scattered signals, and the constant question of where to look first. In this session, Solink shares how they built an AI-powered Loss Prevention Agent on a scalable, event-driven architecture that ingests billions of retail signals and surfaces risky transactions, patterns, and trends for human review. The system combines custom ML models on Amazon SageMaker, deterministic rules in AWS Lambda, and Anthropic models on Amazon Bedrock - helping experts spend less time hunting anomalies and more time analyzing high-value cases.

Thomas Utsey , Senior Technical Trainer, AWS

In this session, we will explore how you can leverage the AWS Skill Builder platform to develop and enhance your cloud computing skills. AWS Skill Builder is a comprehensive learning platform that provides a wide range of free digital courses, hands-on labs, and other resources to help you build expertise in various AWS services and cloud computing concepts.

Kirill Davydychev, AWS; Fei Jing, AWS

Amazon Elastic Block Store (Amazon EBS) io2 Block Express is designed to achieve consistent sub-millisecond latency and deliver the provisioned performance 99.9% of the time with a durability of 99.999% for your most mission-critical applications, such as Oracle, Microsoft SQL Server, MySQL, and SAP HANA. Join this session to learn about how Amazon EBS performance characteristics optimize compute utilization that leads to cost efficiency, which contributes to the success of many performance-demanding industry use cases.

Sudeshna Banerjee, Tech Lead, AWS

Organizations increasingly adopt hybrid and multi-cloud strategies to balance flexibility, compliance, and cost. This session explores how AWS enables seamless integration across on-premises and multi-cloud environments. Learn how to design architectures that extend AWS capabilities beyond a single cloud, maintain consistent operations, and avoid vendor lock-in — while leveraging AWS-native services to connect, manage, and secure workloads across any environment

Frank Stone, Principal SA, AWS

In this session we'll share learnings and best practices from Amazon’s largest cross region migration to date with 1000’s of services migrating across AWS regions. We’ll share our strategy and tools for migrations at scale and cover details on how we have automated common migration tasks for compute and storage replication. The session will cover how awe have simplified developer effort for migrations with CI/CD pipeline analysis and the tools we’ve implemented using Amazon Q Developer and the AWS CDK to remove region dependencies and deploy infrastructure as code where resources have been manually configured.

Helen Ashton, Sr. Observability CSM, AWS; Mihir Pathare, Industry Sr SA, AWS

Is your operations team consumed by daily firefighting? Do you lack the time to evaluate and improve your operational posture? Move from reactive firefighting to proactive operational improvement with AWS DevOps Agent, your always-available operations teammate that resolves and proactively prevents incidents across AWS, multicloud, and on-premises environments. Integrate with your existing observability tools to correlate telemetry, code, and deployment data to reduce MTTR and drive operational excellence. Learn how you can use the latest capabilities to investigate applications on Azure and on-prem environments, enhance agent capabilities with customer-defined skills, and create custom charts and reports for deeper operational insights.

Derek Desjardins, AWS; Ryan Yanchuleff, AWS

Join us for an interactive session exploring the agentic capabilities of the Kiro CLI. Learn how to leverage custom agents that uses the information across native and MCP server-based tools to read and write files locally, call AWS APIs, run bash commands, and write code, all while adapting to your feedback in real-time. We'll cover best practices for agentic development, and real-world use cases for implementing Kiro CLI into your existing workflows.

Karan Bhandarkar, Principal PMT, AWS; Lana Zhang, Sr WW Specialist SA - GenAI, AWS

Learn to build AI your way with customization techniques available on Amazon Nova. Discover flexible options to create tailored AI solutions, regardless of technical expertise. We'll present techniques to align model responses with your preferences, adapt models for specific tasks, or continuously train models on your proprietary data. See how you can leverage your business expertise and proprietary data to customize Nova models on Amazon SageMaker AI for your unique use cases.

Ajay Dhungel, Deskree

This 30-minute talk, "Building Your Personal AI Assistant in Minutes: Deploying OpenClaw on Amazon Lightsail with Amazon Bedrock," shows how to run OpenClaw—an open-source autonomous AI agent—as your private assistant on AWS. OpenClaw transforms large language models into agents handling real tasks: managing inboxes, scheduling meetings, browsing the web, and automating workflows through WhatsApp, Telegram, Slack, or Discord. You'll learn to launch the blueprint, pair devices securely, connect to Amazon Bedrock, and see autonomous AI in action—cutting setup from hours to minutes with built-in security and HTTPS.

Scott Munson, Member of Technical Staff, Anthropic

Context is a critical but finite resource. As your agent runs longer, every token depletes a shared attention budget and context rot sets in. In this session, Anthropic's Applied AI team walks through the anatomy of effective context: system prompts at the right altitude, token-efficient tools, just-in-time retrieval over pre-loaded data, and the three techniques we rely on for long-horizon work — compaction, structured memory, and sub-agent architectures. We'll ground each pattern in how Claude Code uses it. You'll leave with a practical mental model for treating context as a precious resource and a checklist for auditing your own agents.

Anish Agarwal, CEO, Co-founder, Traversal; Ahmed Lone, Co-Founder & CPO, Traversal

Self-driving production is the next frontier of autonomous software development—but getting there is a journey. In this session, we’ll show how enterprises are progressing from manual operations and AI copilots toward closed-loop, autonomous production systems with Traversal. We’ll share the autonomy curve for production, what it takes to move from assisted investigation to autonomous remediation, and the architectural breakthroughs that make this possible. We’ll also show how Traversal's AI SRE runs this approach on itself: monitoring production, diagnosing incidents through causal reasoning, shipping fixes, and verifying outcomes autonomously.

Jonathan Dion, AWS Principal Technical Instructor, AWS

Learn to build enterprise-scale generative AI applications focused on delivering business value. Learn essential practices for data governance, security, and scalability while implementing production-ready AI solutions. Gain practical experience with deployment frameworks, observability tools, and strategic approaches to accelerate AI adoption in enterprise environments.

Enhance your AWS Cloud expertise through hands-on learning in our dedicated self-paced training space. Interact with multiple training options including AWS Builder Labs, gamified trainings, and AWS SimuLearn to solve real business and technical challenges. With over 200 offerings available for both technical professionals and non-technical professionals, you'll find everything needed to advance your cloud skills at your own pace.

Isabelle Charette, Solutions Architect , AWS

Manual compliance workflows can't scale when critical vulnerabilities hit. This session talks through building an agentic compliance system on Amazon Bedrock, from a simple EC2 agent to a full Supervisor-Agent architecture. A central Orchestrator manages three specialist agents — Vulnerability, Patch, and Compliance — to detect risks, enforce SLAs, and automate phased remediation in real time. Built with the open-source Strands SDK and deployed via AgentCore, it's a practical blueprint for autonomous, enterprise-grade compliance at scale.

Diego Magalhaes, Principal Technologist, Public Sector, AWS

Canadian government and institutions need to modernize while managing tight budgets and aging infrastructure. This session walks through AWS's GenAI-driven approach to transforming legacy systems into cloud-native architectures across four phases: intelligent assessment with wave planning, zero-downtime migration, autonomous code transformation using learning agents, and cloud-native operations. Learn how foundation models can analyze legacy code, understand business logic, and execute transformations via natural language, helping agencies modernize faster while maintaining service continuity.

Mac Stevens, Sr. Solutions Architect, AWS

Many DevSecOps initiatives create bottlenecks despite promising faster, more secure delivery. In this interactive chalk talk, we'll collaboratively design a scalable DevSecOps blueprint that moves beyond checkbox compliance to enhance both security and velocity. Using real-world examples, we'll explore the DevOps-to-DevSecOps evolution, examine AWS's internal approach to security requirements, and uncover effective platform engineering patterns. You'll leave with a practical roadmap for making security a "paved road" and clear steps to launch your security platform initiatives—without getting bogged down in unnecessary complexity.

Pavan Kumar, Sr. Solutions Architect, AWS; Jean-Philippe Savaria, Sr. Solutions Architect, AWS

Ready to manage network operations through natural language? Discover how AWS Network MCP Server and AWS Knowledge MCP Server leverage Generative AI to transform AWS infrastructure interactions. In this code talk, learn hands-on techniques for tracing network paths, analyzing Amazon VPC and AWS Transit Gateway configurations through simple prompts, and troubleshooting connectivity with AI-assisted analysis using Kiro. We'll demonstrate combining the AWS Network MCP Server with the AWS Knowledge MCP Server for real-time documentation access, plus explore AWS IaC MCP Server integration for automated remediation. Perfect for network engineers, cloud architects, and DevOps professionals streamlining operations with AI-powered tools.

Peter Nigh, AWS; Kaizen Conroy, AWS

AWS provides services that enable the creation, deployment and maintenance of application infrastructure in a programmatic, descriptive, and declarative way. These services provide rigor, clarity, and reliability to application development. In this chalk talk, we'll cover how AWS CloudFormation, AWS CDK and Kiro, an agentic AI development tool, improves productivity and accelerates your dev/test cycle for rapid infrastructure-as-code development. Whether you're a seasoned DevOps professional or earlier in your journey, this session will equip you with new tools and techniques to streamline your deployment processes.

Amreeta Gill, Sr WW Specialist - GenAI, AWS; Alex Thewsey, Sr WW Specialist SA, AI/ML, AWS; Aris Tsakpinis, Sr WW Specialist SA, GenAI, AWS; Claudio Mazzoni, AWS

Open-weight models give teams full control — process sensitive data locally, customize for specific requirements, and deploy at lower latency and cost. But getting the most out of them requires the right decisions on model selection, sizing, and deployment. In this builders session, learn how to evaluate and select the right open-weight model on Amazon Bedrock, understand trade-offs between model sizes and architectures, and deploy using optimized inference configurations. We cover fine-tuning and distillation techniques to tailor models to specific workloads, and demonstrate deployment patterns that balance cost, latency, and performance for real-world applications including agentic use cases. You must bring your laptop to participate.

Michael Goligorsky, AWS; Puneet Badlani, AWS; Hamza Nadeem, AWS; Yudenia Ramirez, AWS

Attend this hands-on workshop to learn how to effectively leverage agentic AI in your self-service applications. This session will focus on building common AI-powered self-service use cases with Amazon Connect through the voice and chat channels including resolving personalized customer questions, fulfilling complex customer transactions, blending with structured AI where needed, and intelligently escalating to human agents. Through practical demonstrations and guided exercises, participants will gain hands-on experience implementing agentic AI, learning best practices for prompt engineering, knowledge base integration, and creating seamless customer interactions. You must bring your laptop to participate.

Jack Moore, Senior PMT - ES, Health AI, AWS

Healthcare delivery is being reimagined through specialized AI agents that work together as an extension of your care team — across patient engagement, clinician support, and revenue operations. Amazon Connect Health brings enterprise-grade AI teammates across the care journey, integrated into existing workflows and built to perform reliably across millions of patient interactions while upholding rigorous standards for security, privacy, and ethics. In this Lightning Talk, learn how Amazon Connect Health works and how healthcare organizations are using it today to drive measurable impact.

Mike Preston, Staff Technical Marketing Manager, Rubrik

AWS provides the world's most robust infrastructure, but in the face of a sophisticated ransomware attack, 'having a backup' isn't the same as 'being back in business.' Relying on manual scripts and siloed snapshots across dozens of accounts creates a recovery gap that can cost weeks of downtime. Join Rubrik to learn how to close that gap. In this session, learn how AWS and Rubrik work together to take you from basic data protection to true cyber resilience. We’ll dive into how Rubrik and AWS work together to automate the discovery of shadow data, proactively identify clean recovery points before an attack even hits, and restore mission-critical workloads up to 100x faster than traditional methods. No weeks of downtime.

Clayton Markos, AWS Senior Technical Instructor, AWS

Prepare for the AWS Certified AI Practitioner exam with this session. Review questions from the official practice question set. Ask questions of the subject matter expert leading the session. Continue preparing for your exam with confidence following the four-step plan on AWS Skill Builder.

Myles Williams, Sr TAM, AWS; Math Bruneau, Sr. SSA, Containers, AWS

AWS offers multiple container compute options enabling architects to optimize for performance, cost, and operational requirements. This session provides guidance for navigating these choices across AWS container services. Dive into AWS Fargate and Amazon ECS Managed Instances, each offering distinct approaches to AWS-native container orchestration. Explore how Amazon EKS Auto Mode also brings similar automation and optimization to Kubernetes cluster management. Through real-world scenarios, learn the technical architecture, operational models, and cost implications of each compute option, understanding the inflection points for matching compute to diverse application patterns and workload types.

Rodolfo Colnaghi, Intact Financial; Jinan El-Hachem, Intact Financial; Saif Husain, Principal CSM, AWS

Scaling gen AI from proof-of-concept to production demands governance, visibility, and security by design. This session introduces Intact Financial Corporation's Agent Governance Intelligence (AgI) platform, built to close the gap between experimentation and enterprise-grade AI deployment across a multi-cloud environment. Intact's agentic AI unifies an Enterprise AI Agent Portal, a centralized Agent Registry, and developer Starter Kits into a single control plane — addressing agent visibility, federated governance, cross-cloud FinOps, and security-by-design.

Nick Sciarrilli, AWS; Anoop Saha, AWS; Surya Kari, AWS

Every company has access to the same powerful foundation models — the same ones their competitors use. Off-the-shelf models work for prototyping, but per-call costs make production economics difficult. Walk through the decision framework for when to use general-purpose models vs. fine-tuning smaller open-weight models (Qwen, Llama, Nova) specialized on your use case. Cover the full customization spectrum — SFT, DPO, RLVR, RLAIF, and multi-turn RL — and when each technique applies. Then see how to deploy your specialized model cost-effectively across SageMaker Managed Inference, HyperPod, or Bedrock, choosing the right inference option for your latency and cost requirements.

Brahmi Shah, Sr. WW GTM Specialist, Amazon Quick, AWS; Markelle Andrews, Sr. WW GTM Specialist, Amazon Quick, AWS

Most of us spend more time hunting for information than using it. Amazon Quick changes that. It reaches across all your company's data – documents, databases, emails, Slack threads, dashboards, Jira tickets – and lets you search it, ask questions, and take action, all from one place. Available across web, mobile, Slack, and Microsoft tools with multi-model intelligence, Quick delivers consumer-grade AI with enterprise-grade security and governance. No vendor lock-in, no siloed copilots. Just one AI teammate that works wherever you do.

Anubhavs Srivastava, Srivastava, AWS; Beerinder Mann, AWS

Think you know Amazon S3? Think again. S3 has transformed with powerful new capabilities. S3 Vectors brings native embedding storage for AI at scale. S3 Tables delivers managed Apache Iceberg without the infrastructure. S3 Metadata helps you discover, catalogue and recover your data. And the brand new S3 Files eliminates the boundary between file and object storage. For each, you’ll learn what it is, how it works, and why it matters for your architecture. You’ll leave excited to try something new and rethink what’s possible with your data

Yael Grossman, SA, AWS; Sirena Akopyan, Technical Business Developer, AWS

Amazon EC2 offers a variety of capacity usage and reservation models, so you can choose the right combination for your workload and budget. These include capacity reservations, On-Demand Instances, Amazon EC2 Capacity Blocks for ML, and more. Join this session to learn how to combine these models in a way that's best for your business. You'll walk away with knowledge on how to manage your capacity to improve utilization and availability.

Sumedha Swamy, AWS; Lauren Mullennex, AWS

AI agents powering complex workflows in financial advising, software development, and customer operations need to go beyond what off-the-shelf foundation models can deliver. These models are powerful generalists, but they don't know your tools, your business rules, or the domain expertise you've built over years. Amazon SageMaker AI model customization enables you to specialize smaller, cost-effective models on your proprietary data — so your agents deliver the accuracy your business demands at a fraction of the inference cost of larger alternatives. Connect your existing agent framework, provide your data, and SageMaker handles the end-to-end customization workflow, fully serverless.

Patrick Kremer, AWS; Ron Wedel, AWS

Migrating and modernizing VMware workloads to AWS starts with the right decisions and the right strategy. In this interactive session, we'll walk you through a complete framework, from assessing your VMware environment and navigating foundational choices around licensing, architecture, and organizational readiness to selecting the migration pathway that fits your workloads and goals. Discuss your options with AWS experts, from Amazon EVS, rehosting to EC2 to containerization and refactoring. Tap into agentic AI with AWS Transform to accelerate discovery, planning, and execution. Whether you're starting your assessment or ready to execute, this session delivers practical guidance to move forward with confidence.

Kushal Deshpande, Tech Lead, AWS

Most video and audio content across organizations remains unsearchable. This session demonstrates how Media2Cloud solves that with fully serverless media indexing. Upload a file to S3 and it automatically handles transcription, scene detection, object recognition, speaker diarization, and metadata generation using Transcribe, Rekognition, Bedrock, and Step Functions. No custom ML infrastructure required. Learn reusable patterns for building scalable, searchable media pipelines across industries.

Salman Ladha, Staff Product Marketing Manager, Wiz, Inc

Code-to-cloud visibility is the foundation for secure development in the AI era. As AI-native cycles accelerate engineering, the disconnect between code risks and cloud reality hinders remediation. Learn how AppSec teams can prioritize risks based on exploitability, not just theoretical code reachability and how dev teams can embed code to cloud context into their AI-SDLC for proactive risk reduction.

Chris Leong, Partner Territory Manager, AWS

AI is everywhere right now, but most of what you hear is hype, jargon, or meant for companies with big budgets. This session breaks down what AI actually looks like in a small business: the real tasks it can handle, the ones it can't, and where to begin. You'll also learn how the right partner can make the process easier. Skip the confusion, avoid costly mistakes, and get to value faster with someone who's done it before.

Simon Zamarin, Sr. AI/ML Specialist SA, AWS; Arya Subramanyam, AWS

Go from zero to a production-grade agent in three hours. In this hands-on workshop, you'll build an agent using Strands Agents, connect it to external tools via MCP servers with automatic authentication, add persistent memory for cross-session context, deploy it with microVM isolation, and set up continuous quality evaluation to monitor real traffic. You'll leave with a running agent on Amazon Bedrock AgentCore, plus the patterns to replicate this for your own use cases. You must bring your laptop to participate.

Parul Saxena, Sr. WW SSA Big Data, AWS; Chinmayi Narasimhadevara, Senior Solutions Architect, AWS

Dive into modern approaches to data engineering and machine learning using natural language and agentic AI assistance. We'll walk through practical examples that show how conversational AI and agents can streamline the development of data and ML workflows within Amazon SageMaker Unified Studio. You'll leave with the technical know-how you need to automate data engineering tasks and streamline ML development without writing code.

Uday Narayanan, Principal Solutions Architect, AWS; Rahul Sharma, Sr. GTM SSA, Analytics, AWS

AI agents are only as effective as the data they rely on. This chalk talk focuses on how to build and manage high-quality data products and contextual information for use by AI agents. You'll learn how to deliver accurate, up-to-date, and well-governed data for AI systems, including context engineering, RAG strategies, fine-tuning dataset curation, and automated quality checks. We'll cover how to manage AI context, handle data drift, and perform classical data management activities in the Agentic AI world.

Yogi Barot, AWS; Vineedh George, AWS

Transform your Microsoft workloads with AWS Transform's end-to-end capabilities spanning .NET applications, SQL Server databases, and custom code modernization. This chalk talk explores how AWS Transform automates discovery, dependency mapping, and migration orchestration for Windows Server migrations and application modernization—including .NET applications, SQL Server databases, and custom code transformations powered by agentic AI capabilities

Edwidge Belinga, Solutions Architect, AWS

Java applications on unsupported versions create tech debt, security risk, and drain developer capacity — but upgrading hundreds of repos manually doesn't scale. In this session, we'll explore how AWS Transform Custom uses agentic AI to plan, execute, and validate Java upgrades autonomously, with continual learning that improves with every run. We'll also show how Kiro Powers brings transformation capabilities directly into your IDE — letting developers apply upgrades and generate infrastructure-as-code without leaving their editor. Join us for a live demo covering single-repo fixes to enterprise-wide batch modernization.

Enhance your AWS Cloud expertise through hands-on learning in our dedicated self-paced training space. Interact with multiple training options including AWS Builder Labs, gamified trainings, and AWS SimuLearn to solve real business and technical challenges. With over 200 offerings available for both technical professionals and non-technical professionals, you'll find everything needed to advance your cloud skills at your own pace.

Divya Jadhav, Solutions Architect, AWS

Spec-driven development with Kiro transforms how you build software by grounding every feature in structured specifications before a single line of code is written. In this session, discover how Kiro's AI-powered spec workflow guides you from rough idea to clearly defined requirements, design decisions, and implementation tasks — automatically. Learn how specs reduce ambiguity, improve team alignment, and let AI agents execute with precision and context. Walk away with a practical approach to building faster, smarter, and with fewer surprises.

Rob Charlton, Principal SA- Cus. Resilience, AWS; Tarik Makota, Sr. Principal, Solutions Arch, AWS

Attendees will gain practical insights into avoiding common architectural pitfalls that can lead to service disruptions and performance degradations in mission-critical AWS environments. Learn battle-tested strategies for implementing effective observability, automated recovery mechanisms, and controlled deployment practices that maintain system reliability while ensuring continuous improvement. Discover how to properly implement multi-region resilience patterns, manage complex dependencies, and establish operational runbooks that are optimized for high-stress incidents. Walk away with a clear framework for evaluating architectural decisions through the lens of reliability engineering principles, enabling you to balance innovation velocity with the stability requirements of your most critical workloads.

Natasha Raju, Senior Partner Marketing , AWS

Discover how the right AWS partnerships unlock real business impact. Through customer success stories, learn how organizations identify and select the right AWS partners — evaluating credentials, competencies, and fit — to solve industry-specific challenges and accelerate digital transformation. For partners, gain practical GTM strategies to maximize your AWS Marketplace presence, develop effective co-market and co-sell motions, and deepen vertical expertise to win in competitive markets. Whether you're a customer looking to enhance your market impact or a partner scaling your AWS business, walk away with actionable approaches to drive measurable outcomes together

Thomas Utsey , Senior Technical Trainer, AWS

In this session, we will explore how you can leverage the AWS Skill Builder platform to develop and enhance your cloud computing skills. AWS Skill Builder is a comprehensive learning platform that provides a wide range of free digital courses, hands-on labs, and other resources to help you build expertise in various AWS services and cloud computing concepts.

Rob Solomon, Staff Solution Architect - AWS Alliance, CrowdStrike

AI-powered adversaries challenge traditional security models as breakout times drop to 29 minutes and 82% of intrusions become malware-free. This session unveils CrowdStrike’s AI-native defense strategy, showing how Falcon Cloud Security—the only CNAPP proven to stop breaches in minutes—utilizes Real-Time Cloud Detection & Response. Learn how Falcon Next-Gen SIEM offers search speeds 150x faster than legacy solutions, and how Falcon AI Detection and Response stops prompt injection and data exfiltration in real time. See how you can protect your environment in minutes using new pay-as-you-go options on AWS.

Jonathan Watson, Clio; Martin Bazinet, Director of Technology, Canada, AWS

Clio, a Canadian legal technology company founded in 2008, has become a global platform serving 400,000 legal professionals across 130 countries. In this session, Jonathan Watson, CTO of Clio, and Martin Bazinet, Director of Technology for AWS Canada, share the strategic bets, growth phases, and lessons learned as Clio evolved into the defining company in legal AI. Attendees will learn how early cloud bets compound over time, how compliance can become a competitive moat in regulated industries, and how structured data investments pay off when the next technology wave arrives. This session is relevant for SaaS builders, technical leaders, and anyone navigating platform growth on AWS.

Saif Husain, Principal CSM, AWS; Travis James, Sr Optimization SA, AWS

Explore the intersection of AI and FinOps in this advanced session. First, discover how Amazon Q can simplify AWS cost management by analyzing trends, explaining spend, and recommending optimizations like rightsizing and Savings Plans. Then, dive into FinOps for AI- learn how to track and control generative AI costs across Amazon EC2, Amazon SageMaker, Amazon Bedrock, and more. We'll share architecture patterns, cost-saving strategies, and real-world examples to help you build scalable, production-ready AI solutions while staying on budget. Whether you're optimizing existing workloads or launching new AI initiatives, you'll leave with practical tools to maximize value.

Satveer Khurpa, AWS; Fei Yuan, AWS

Agents are only as useful as what they can access. In this chalk talk, we dig into how Amazon Bedrock AgentCore connects agents to MCP servers, knowledge bases, APIs, and Lambda functions with automatic authentication, protocol conversion, and semantic tool indexing. We'll whiteboard real-world patterns for end-to-end identity management where credentials never enter the agent loop, enforceable gateway policies that authorize every tool call, and agent registry governance for sharing tools and skills across teams. Bring your integration challenges and we'll work through them together.

Keren Tseytlin, Senior Software Development Engineer, AWS; David Gardner, Principal Solutions Architect, AWS

DynamoDB schema design is the #1 barrier to adoption, requiring upfront knowledge of access patterns and partition strategies most teams learn through trial and error. DynamoDB's new AI-powered schema design tools change that. In this agentic development session, we'll migrate a banking payment-processing application from a relational database to DynamoDB. We'll analyze the workload, generate optimized table designs, compare cost and throughput tradeoffs, and iterate toward production-quality schemas. We'll review AI-generated code, provide input to refine the implementation, migrate data, and demonstrate the complete end-to-end solution.

Ty Augustine, Specialist SA, AWS; Toby Buckley, Sr SSA, AWS

Are you looking for better performance and lower cost for your .NET workloads? Learn how to accelerate migration of your .NET workloads on Windows to Linux on AWS, including the AWS Graviton processor. We will also show you how AWS Transform for .NET can assist you in your .NET workload migration or modernization. Finally, this session will equip you with the best practices for benchmarking workloads and analyzing price performance gains.

Jonathan Dion, AWS Principal Technical Instructor, AWS

Learn to build enterprise-scale generative AI applications focused on delivering business value. Learn essential practices for data governance, security, and scalability while implementing production-ready AI solutions. Gain practical experience with deployment frameworks, observability tools, and strategic approaches to accelerate AI adoption in enterprise environments.

Karan Bhandarkar, Principal PMT, AWS; Lana Zhang, Sr WW Specialist SA - GenAI, AWS

Learn to build AI your way with customization techniques available on Amazon Nova. Discover flexible options to create tailored AI solutions, regardless of technical expertise. We'll present techniques to align model responses with your preferences, adapt models for specific tasks, or continuously train models on your proprietary data. See how you can leverage your business expertise and proprietary data to customize Nova models on Amazon SageMaker AI for your unique use cases.

Vignesh Ravi, Solutions Architect, AWS

As operational complexity grows, teams need faster ways to detect and resolve incidents. AWS DevOps Agent brings AI-powered investigation to your observability stack. In this session, trigger a real incident and watch the agent autonomously investigate, correlate telemetry, and deliver a mitigation plan. Interact through natural language and evaluate proposed remediation. Walk away with patterns to reduce resolution time and shift from firefighting to proactive prevention.

Mikhail Vaynshteyn, Sr. Solutions Architect, AWS; Kritarth Dodia, Sr TAM, AWS; Sean Bjurstrom, ESL TAM (US-ISV), AWS; Sohaib Katariwala, Sr. OpenSearch Specialist SA, AWS

With Amazon OpenSearch Service’s vector database capabilities you can implement Retrieval Augmented Generation (RAG) with Large Language Models (LLMs). Join this session to build a RAG-based, contextually aware, conversational search solution using OpenSearch vector database for document embedding and LLM content generation with context. You must bring your laptop to participate.

Alin Scurtu, Senior Networking SA, AWS; Peter Edosomwan, Sr. TAM, AWS; Carlos Rivera, Senior SA, WWPS, AWS; Jean-Philippe Savaria, Sr. Solutions Architect, AWS

In this hands-on builders’ session, learn how to use Amazon VPC Lattice to provide Zero Trust application networking connectivity for service-to-service and service-to-resource communications. You’ll learn skills to integrate your applications and VPC resources into a Lattice service network, then implement identity-based authentication and authorization. You must bring your laptop to participate.

Matt Carolan, Canadian Public Cloud Association ( CPCA)

I’ll share practical lessons from years of building and supporting technical communities, giving talks, and hosting events. I’ll show how these activities help engineers develop visibility, credibility, leadership skills, and stronger professional networks, even if they are not in formal leadership roles. I’ll also use awsusergroups.com, a volunteer-built community resource, as a real example of how people can contribute to something bigger than themselves and create lasting value for others.

Raju Dantuluri, AWS Marketplace Senior Technical Business Development, AWS

Learn about new selling capabilities in AWS Marketplace. This session explores best practices for selling comprehensive solutions, including real-world patterns, contract structures, and technical considerations. Discover how to maximize your AWS Marketplace presence and streamline customer procurement through effective solution-based strategies.

Sandip Dhummad, CPP Investments; Rishi Gera, Canada Senior SA, WWPS, AWS

Regulated industries like financial services and public sector require scalable, trusted data foundations to power enterprise AI—yet face unique challenges building AI-ready platforms with built-in governance. Learn how Canada Pension Plan Investment Board (CPP) partnered with AWS to transform siloed datasets into a next-generation enterprise data platform using data mesh principles—enabling decentralized ownership, low-code pipelines, and governed access across hundreds of AWS accounts. Discover how CPP is unlocking natural language discovery and conversational access to enterprise data while preserving audit trails and regulatory controls. Walk away with practical approaches to modernize your data ecosystem for enterprise AI.

Sebastien Perreault, AWS; J-S Labonte, AWS

Data continues to be one of the world’s most valuable resources. Data protection and resilience are critical to business success, helping to keep workflows running and allow business recovery from data loss events such as unplanned outages, natural disasters, and ransomware. Join this session to dive deep on how AWS Storage offers organizations defense-in-depth data protection and resilience for application data across recovery point and time objectives, helping to mitigate risks with immutable solutions, restore testing, policy-based access controls, encryption, and auditing and reporting.

Annie Perez, Government of Ontario; Enid Zambrano, AWS; Garrett Ungaro, AWS

This isn't just another AI presentation—it's a real-world transformation story featuring a Canadian customer who is deploying agentic AI across their omnichannel contact centres. Experience how AI agents evolved from basic IVR to sophisticated systems handling complex requests, empowering human agents with real-time assistance, and enabling 24/7 self-service. See omnichannel AI orchestration seamlessly operating across voice, chat, video, and email with unified customer context. Leave with actionable insights on implementation challenges, measurable impact (reduced wait times, cost savings), and how to apply these principles whether you serve 100 or 100,000 customers.

Daniel Duplessis, Principal Specialist SA, AWS

Most AI agent projects stall when moving from prototype to production. This session tackles the top challenges builders face when deploying agentic AI at scale. You'll learn how to answer the fundamental question of whether to build custom agents or leverage pre-built agents for DevOps, security, development, and business productivity use cases. Then you'll discover how to address the critical production challenges of reliability, observability, cost management, security, and evaluation. Drawing from real customer deployments and AWS's portfolio of agentic AI capabilities, you'll gain actionable approaches for building agents that don't just demo well but ship and scale.

Adnan Bilwani, AWS; Ryan Yanchuleff, AWS

Agent skills, Kiro powers and MCP are redefining what it means to build in agentic systems, transforming AI from a code suggestion tool into an autonomous development partner that plans, executes, and iterates across your entire codebase. Join this session to explore how skills and Kiro powers act as composable building blocks that give Kiro the context it needs to query APIs, run tests, read documentation, and take action on your behalf. We'll show how MCP serves as the secure, standardized plumbing that connects Kiro to external tools and data sources and walk through best practices for implementing MCP servers that make your agent skills more capable.

Albeda Siddique, Senior SA, AWS for Telecom, AWS; Nitish Kulkarni , Associate Solutions Architect , AWS

Accelerate legacy telecom modernization with generative AI on AWS. This session shows how intelligent agents automate assessment, enable zero downtime migration, transform code through continual learning, and deliver cloud native operations using Amazon Bedrock. Watch foundation models decode millions of lines of BSS/OSS code and execute transformations via natural language. Discover how telecom operators can achieve achieve 75% faster timelines, 60 to 70% cost reduction, and 99.9% data accuracy data accuracy while preserving business continuity and improving customer experience. Walk away with actionable strategies to modernize your telecom stack using the same AI driven techniques reshaping the industry today.

Vishal Karlupia, Sr. TAM, AWS; Devi Nair, Sr. TAM, AWS

Join this live coding session to learn how Amazon CloudWatch helps you observe agent behavior with unified visibility, evaluate quality using production datasets and experiments, and continuously improve through data-driven iteration. Agents don't fail like traditional systems—they drift in quality even when performance metrics look healthy. We'll demonstrate building production-ready agents across any framework, model provider, or cloud, with practical strategies for establishing the observability and evaluation workflows that enable confident production deployment.

Enhance your AWS Cloud expertise through hands-on learning in our dedicated self-paced training space. Interact with multiple training options including AWS Builder Labs, gamified trainings, and AWS SimuLearn to solve real business and technical challenges. With over 200 offerings available for both technical professionals and non-technical professionals, you'll find everything needed to advance your cloud skills at your own pace.

Gourav Gupta, Solutions Architect, AWS

Most enterprises run on disconnected tools—dashboards, documents, and workflows scattered across platforms. Amazon Quick Suite unifies them into a single AI-powered workspace. Combining natural language querying, agentic teammates, and workflow automation, Quick Suite enables business users to go from question to action without switching tools or writing code. Attendees leave with a clear picture of how quick suite reimagines enterprise productivity for the AI era.

Ben Paul, Solution Architect, Clickhouse

We’ll explore how the ClickHouse Agentic Data Stack, featuring the Model Context Protocol (MCP) Server and LibreChat integration, enables intelligent agents that can reason, query, and act autonomously on massive datasets in real time. Agenda • What makes the Agentic Data Stack essential for the future of data-driven AI • Deep dive: MCP Server and real-world agent use cases • Live demos: Conversational analytics & autonomous data exploration • Roadmap preview: What’s next for ClickHouse and AI agents • Q&A with experts Who should attend Data engineers, AI/ML practitioners, architects, and engineering leaders who want hands-on insight into building data-aware intelligent agents and transforming analytics into action.

Jason Whissell, Blackberry; Mehran Najafi, Principal Solutions Architect, AWS

Faced with the operational and financial burden of aging infrastructure, BlackBerry is executing an infrastructure transformation to migrate over 1,500 virtual machines from on-premises data centres to AWS. BlackBerry has partnered with AWS and key migration partners to execute a structured, accelerated migration, while addressing technical complexity, minimizing business disruption, and using AWS tooling to track progress and de-risk the migration across multiple workload types. Attendees will leave with a practical framework for large-scale VM migration, lessons learned from an ongoing data centre exit journey, and insight into how AWS services and partner ecosystems can accelerate infrastructure modernization for enterprise customers.

Jonathan Shapiro-Ward, AWS

Navigate the complexities of enterprise cloud migration with insights gained from thousands of successful AWS transformations. This technical deep-dive examines critical planning phases: from initial discovery and environment assessment to building robust migration plans. Explore AWS Transform's capabilities for accelerated analysis while building comprehensive technical and business strategies. Learn the art of creating executable migration plans backed by real-world examples and proven methodologies.

Jason Hunter, Principal Solutions Architect, AWS; Robert McCauley, Senior Solutions Architect, AWS

In this chalk talk, dive deep into how Amazon DynamoDB works at scale by collaboratively solving a few design puzzles that may seem simple but are actually complex. Learn how you can look beyond the obvious solution to find a more effective and scalable one with an understanding of how DynamoDB operates.

Shayon Sanyal, Principal Solutions Architect, AWS; Aditya Samant, Principal Solutions Architect, AWS

Explore how to build an agentic AI application using Amazon Aurora and Model Context Protocol (MCP). This session introduces design patterns for agents powered by Amazon Bedrock that retrieve live relational data from Amazon Aurora to drive autonomous workflows. Learn how to build solutions using MCP servers to enable contextual memory, handle multi-turn queries, and securely connect LLM agents to Aurora clusters. Discover architecture blueprints that combine structured data with LLMs and orchestrate multi-agent workflows with Amazon Bedrock AgentCore, LangGraph and Strands Agents. Ideal for builders creating real-time, intelligent systems that operate directly on relational data.

Diwakar Bansal, AWS; Jim Burtoft, AWS

Explore the emerging architecture of world models, such as video generation models, and why they're critical for next-generation applications in robotics, video generation and analytics. Learn how AWS's accelerated computing portfolio, including GPU-based instances and AWS Trainium, provides optimal infrastructure for training and deploying world models at scale. This session dives into architectural capabilities and chip-level optimizations that make AWS uniquely suited for world model workloads, including memory bandwidth, compute efficiency, and infrastructure scale.

Lohit Jagia, Propel Holdings; Abhijith Satish Nair, AWS Solutions Architect, AWS

Generative AI is transforming how enterprises access internal knowledge, but deploying it in regulated industries demands careful architecture and governance. Propel Holdings shares their experience running Glean, a 150-user AI search solution self-hosted on AWS within their own VPC, with MCP-based connectivity to enterprise data sources like Snowflake, Jira, and GitHub. This session covers agentic AI use cases in financial services — from automated reviews to investigation agents — how to measure their value, and the governance and data privacy considerations for moving from a successful PoC to scalable enterprise deployment.

Kelly Costlow, Business Development Manager, Partner Specializations, AWS

Customers will learn how to save time and make confident partner decisions, while partners will discover how to improve their visibility and rankings. We'll reveal the buying signal that 87% of customers rely on when selecting partners, explore how enhanced search algorithms help you quickly identify the right expertise for your workload, and show partners how they can improve their rankings and unlock additional go-to-market benefits through the AWS Specializations Partner Program.

Wilmar Perez, AWS Technical Instructor, AWS

What skills will set you apart as a generative AI developer? We will share resources, hints and tips which will enable you to get started quicker and learn from our AWS Training and Certification Instructors.